🚀 Excited to introduce PyQueryHub – a platform we built to solve a problem every data team faces: turning queries into insights that actually get shared. We've all been there: writing SQL in one tool, visualizing in another, scheduling somewhere else, and then fighting to embed it all where stakeholders can actually see it. PyQueryHub brings this entire workflow into one place. What we've built: ✅ Connect to any database (MySQL, PostgreSQL, BigQuery, Google Sheets, you name it) ✅ Write SQL with dynamic parameters using simple YAML configs ✅ Build charts and reports with drag-and-drop simplicity ✅ Embed Python notebooks directly for deeper analysis ✅ Schedule automatic updates and set up smart alerts ✅ Securely embed reports anywhere with our two-token system The goal was simple: make data collaboration feel effortless. Whether you're a data analyst building dashboards or a developer embedding analytics into your app, PyQueryHub adapts to your workflow. We'd love for you to try it out and let us know what you think: https://pyqueryhub.com/docs/en What features would make your data work easier? Drop a comment – we're all ears! 👇 #DataAnalytics #ProductLaunch #DataVisualization #SQL #OpenSource

PyQueryHub — Browser‑Based BI

BI That Builds Itself While You Focus on Insights.

BI That Builds Itself While You Focus on Insights.